Advancing North American Design Practices to Mitigate Bicycle Right-Hook Conflicts:
Multi-city surrogate safety study applying video analytics at signalized intersections
Project Background and Need
Cities across North America have made significant strides in recent years in expanding their protected bike lane networks, and evidence continues to suggest such initiatives can bring with them a long list of benefits, including safer cycling. However, intersections continue to be a safety concern for cyclists, with many collisions happening at them every year. Of the various cycling-related collision configurations at an intersection, right-hook events are a prominent collision type.
Leveraging AI-Powered Video Analytics
Several guidelines have been developed to support safe intersection design, but these resources have little empirical evidence to help illuminate the impacts of different design alternatives on right-hook conflicts. By leveraging AI-powered surrogate safety video analytics techniques, this cross-sectional study evaluates how different features such as roadway and bike lane geometry, traffic signal operation, the surrounding environment, and volumes of people traveling through an intersection influence the risk profile of right-hook conflicts at signalized intersections.
In Phase 1 of this study, 6,580 hours of video from 116 signalized intersection approaches spanning 10 Canadian cities were analyzed, through which the interactions between 173,300 cyclists and 542,200 right-turning vehicles resulted in the identification of 1,455 bicycle-leading conflicts.
Volume, speed, conflict and attribute data was collected at each location and the resulting conflict and severity prediction models built an empirical foundation for
Phase 2 of the study is currently underway and will add data from 90 U.S. locations, expanding upon the findings presented in the Phase 1 report.
Phase 1 Report
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Phase 1 Source Database
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